40 Senior Scientist jobs in Qatar

About Commercial Bank of Qatar:

Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar’s economic development by offering a range of personal, business, government, international and investment services. We believe in empowering our employees, providing them with opportunities for growth and professional development.

By Joining us, you’ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.

Join us in shaping the future of banking!

Job Summary:

At Commercial Bank, data is a key driver in strategic decision making; the incumbent is required to have a thorough understanding of data analytics, data management principles and have ability to help the bank derive maximum value from the data available. Previous experience with data science and advanced analytical techniques, as well as AI and Machine Learning in a banking context would be a major success factor. The skills needed for the Data Scientist include technical knowledge and problem-solving and focus on delivery. The prospective candidate is expected to help take the bank’s data science capabilities to the next level; building on a good foundation but accelerating both the capability development and the exploitation of benefits.

Key Accountabilities

• Lead the discovery processes with stakeholders to identify business requirements and expected outcomes by modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.
• Apply data mining techniques, perform statistical analysis, and build high quality prediction systems relevant to the business and its operations,
• Expected to discover information hidden in the vast amount and variety of big data sources and perform statistical analysis to produce business insights e.g. market trends, customer profile and segments, association analysis, predicted behaviour) that will enable the company to make better business decisions.
• Lead the utilization of various machine learning-based tools and processes such as regression, clustering principle component analysis and others within the Commercial Department.
• Model and frame business scenarios that are meaningful and which impact critical business decisions and processes.
• Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters and geo location information or social media.

Make strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.

• Develop innovative and effective approaches to solve analytical problems and communicates the results and methodologies
• Validate findings/test hypotheses using an experimental and iterative approach e.g. scenario modelling Identify/create the appropriate algorithm to discover patterns

Qualifications & Experience

Minimum Qualifications:

Bachelor's Degree or an equivalent professional qualification

Minimum Experience:

• Python or R capability
• Min. 2 years of experience of modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques, integrating and preparing large, varied massive datasets, architecting specialized database and computing environments and communicating the results to the business
• Expertise in reports and analysis of complex customer and/or commercial data.
• Specialist skills in research methodologies, consumer behavior, and market research activities.
• Specialist skills with Microsoft Excel.
• Specialist skills in different analytical and visualization systems and tools such as SSRS, SQL, Power BI, Cognos, etc.
• Skills in data extraction, transformation and visual analytics.
• Skills in customer service / customer success / customer experience or engagement
• Excellent written and spoken English.

Knowledge, & Other skills:

•Knowledge of banking products

•Excellent written and spoken English

Why Commercial Bank?

• Best Performing Bank in Qatar in The Banker’s prestigious Top 1000 World Banks Rankings 2025.
• Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
• An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking
• Opportunities for Global Partnerships & International Exposure , connecting employees with global networks and perspectives.
• A focus on Employee Well-being & Work-Life Balance , ensuring a healthy and supportive environment for all team members
• Competitive Compensation & Benefits that ensure our employees are rewarded for their dedication and performance
• A strong Commitment to Diversity, Equity & Inclusion , fostering a culture that values every individual’s unique perspective

At Commercial Bank, we don’t just offer careers, We shape futures by pioneering digital transformation in Qatar’s banking sector, blending digital-first approach to redefine banking through innovative solutions.

Disclaimer:

We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.

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Join to apply for the Talent Scientist role at Canonical

3 days ago Be among the first 25 applicants

Join to apply for the Talent Scientist role at Canonical

As a pioneer remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our business based Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our processes are effective and that the business is able to make the best decisions to select exceptional talent. This is an exceptional opportunity to join a team that is changing the way an organisation hires.

Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent, regardless of location, culture or background.

As a Talent Scientist, you will work closely with these Hiring Leads to drive initiatives, automation and best practice whilst offering an expert viewpoint on talent assessments. This is not a recruiter position; it's about the science of talent and performance, raising awareness and insights across the business so that they are able to select the best talent available from our global talent pool.

We have a number of mid-senior level openings in our team seeking the following:

• Passion and drive to embed scientific approaches that deliver impact on how an organisation selects talent.
• Strong behavioural interviewing techniques (competency based and psychometric assessments).
• Excellent analytical problem solving ability to identify trends and patterns using SQL, statistical analysis or Python, BI tooling, etc.
• An exceptional academic background including a Bachelors or Masters degree in a Psychology based subject.
• A high level of personal organisation to work remotely and be effective.
  
  

Location: This is a remote position based in the EMEA region

What your day will look like

As a Talent Scientist you will:

• Drive talent analytics to provide our business with real-time insight, partnering with the business to help them move through their hiring processes efficiently.
• Conduct in-depth behavioural talent interviews providing considerable insights into motivations and behaviours.
• Build key relationships with global stakeholders to ensure we deliver against our hiring agenda, closely monitoring hiring activities, driving results and ensuring that there is consistency in our operational processes.
• Drive data driven insights, making sure our decision making process is robust and supportive to inform our decisions.
• Consider our employer brand and how our interactions with a candidate impacts their experience.
• Review and streamline hiring processes and tools to drive continuous improvement.
• Work with external third parties and platforms to ensure we maximise our return on investment.
• Bring a passion for diversity and inclusion, ensuring we remove unconscious bias from our hiring process and ensuring our sourcing strategy underpins this.
  
  

What we are looking for in you

• An exceptional academic background from high school and university, with a Bachelors or Masters degree in a Psychology based subject.
• Experience of hiring talent in the technology or consulting industry.
• A highly data drive mindset with the ability to create measurable outcomes.
• Passionate about how an organisation selects talent using scientific approaches with viewpoint on how to predict and measure hiring outcomes.
• Strong analytical problem solving ability to identify trends and patterns using SQL, with Python and/or advanced statistical analysis preferable.
• Exposure/appreciation of psychometric assessments, including interpretation.
• Experience of conducting behavioural, competency based interviews with the ability to train stakeholders and advise on how to get the best out of an interview.
• A high level of personal organisation and self drive to work remotely and be effective.
• Willingness to travel to company events 2-4 times a year, for up to two weeks each.
  
  

Other Skills You May Bring

• Experience in sourcing and headhunting with the ability to teach our senior leadership team how to hunt for industry leaders.
• Experience in statistical significance testing and experience in Bayesian inference and/or predictive analytics and ML.
• Exposure to the following tools: LinkedIn Talent Insights, Greenhouse, DISC profiling, Superset.
• Psychometric validity and reliability metrics.
  
  

What we offer you

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events
  
  

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Research, Analyst, and Information Technology
• Industries Software Development

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SWATX is looking for a talented and driven Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights from complex datasets and drive data-driven decision making within the organization. You will work closely with business stakeholders to identify opportunities for leveraging data to improve products, services, and overall business performance.

Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategies.
• Develop and implement predictive models and machine learning algorithms to solve complex business problems.
• Collaborate with cross-functional teams to understand data requirements and provide analytical solutions that meet business needs.
• Design and conduct experiments to test hypotheses and validate results.
• Communicate findings and recommendations to stakeholders through presentations and reports.
• Continuously monitor and improve model performance through regular updates and refinements.
• Stay updated with the latest advancements in data science, machine learning, and AI technologies to apply best practices in your work.
• Build and maintain data pipelines to ensure the availability of data for analysis and reporting.
• Work with data engineering teams to ensure data is collected and stored effectively for analysis.

Requirements:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist or in a similar analytical role.
• Strong programming skills in Python, R, or similar languages.
• Proficiency in SQL and experience with relational and non-relational databases.
• Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras).
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) for communicating results.
• Understanding of statistical concepts and methodologies, and experience applying them to real-world scenarios.
• Excellent analytical and problem-solving skills.
• Strong communication skills, both verbal and written, in English and Arabic.

Preferable Certificates:

• Certified Data Scientist (CDS).
• Microsoft Certified: Azure Data Scientist Associate.
• Google Cloud Professional Data Engineer.
• SAS Certified Data Scientist.

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Databorn is a leading consulting firm that specialises in machine learning, marketing technology, and data management. Our team of over 350+ professionals worldwide is dedicated to delivering best-in-class solutions to large corporations in the financial, telco, oil & gas and retail industries. We leverage advanced analytics and big data to supercharge our clients' digital transformation and fuel their growth.

With offices in the UAE, KSA Databorn is a trusted partner for dozens of clients across the globe. Our expertise and experience enable us to implement solutions that drive business success and deliver measurable results. Whether you need help with data management, marketing technology, or machine learning, Databorn has the knowledge and skills to help you achieve your goals.

Our clients are major companies in the business and government sectors (main projects include fintech, retail, manufacturing, FMCG).

Benefits You’ll Love

• Dedicated mentor
• Databorn and Partner vendor's training and certification opportunities
• Annual performance bonuses
• Annual performance review process
• Projects with the latest technologies and methodologies

Position Summary

We are seeking a skilled Data Scientist for our on-site projects in Qatar with a strong background in statistics and machine learning to solve complex business problems. The ideal candidate will work closely with stakeholders to translate business challenges into data-driven solutions, develop and deploy predictive models, and ensure successful project delivery and customer satisfaction.

Please note: This is a full-time, on-site position based in Qatar within the Fintech business area.
Being physically present in the office in Qatar is mandatory.

We offer relocation assistance (preferable option) or extended business trips totaling no less than 9 months per calendar year .

If you are open to considering this opportunity, we would be happy to discuss it further!

What You’ll Do And What You’ll Need

Your Responsibilities

• Business Problem Solving

• Business Problem Solving

- Collaborate with stakeholders to define and formalize analytics requirements.
- Translate business challenges into data workflows and structures.
- Apply statistics and machine learning to solve real-world problems.
- Utilize analytics tools including Python and Hadoop ecosystem.

• Model Development Deployment

- Prepare data through preprocessing, analysis, and visualization.
- Build, train, and evaluate machine learning models (supervised, unsupervised, time series).
- Conduct A/B testing to validate model impact.
- Develop production-ready code covering full model lifecycle and deployment.

• Project Delivery Documentation

- Participate in acceptance testing and ensure solution quality.
- Produce clear documentation for knowledge transfer and maintenance.

• Customer Relationship Management

- Maintain positive customer relationships and ensure satisfaction.
- Resolve issues proactively and communicate openly.
- Engage customers with domain expertise and gather feedback to prevent escalations.

• Support Sales Project Growth

- Evaluate additional work requests and justify project value.
- Assist in qualifying and assessing change requests.

Experience & Skills We Are Looking For

Required

• Big Data Ecosystem: Hadoop
• Data Analysis: MS Excel for reporting and exploratory analysis
• Readiness to expanded business trips or Relocation to Qatar .
• Proficiency in English.
• Experience working with banking data, transactional data, or customer analytics
• Proficiency in Arabic

We offer a competitive salary and commission package, as well as opportunities for growth and advancement within the company.

If you have a passion for turning data into actionable insights and enjoy working closely with customers to solve challenging problems, we would love to hear from you!

Leave your resume, and we will contact you

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Leidos National Security Sector (NSS) is seeking a highly experienced and skilled mission-driven Behavioral Scientist to support APOLLO / OPIAS in Tampa, FL. This position will support Operations in the Information Environment (OIE) by applying behavioral science principles to influence target audiences, optimize communication strategies, and assess the effectiveness of OIE activities. The ideal candidate will have a strong background in behavioral science, psychology, or a related field, with experience in developing, implementing, and assessing influence strategies in a defense or intelligence context. This position is on a future contract pending award announcement.

Possible locations for this position include:

• AFRICOM
• CENTCOM
• SOUTHCOM
• EUCOM
• INDOPACOM
• NORTHCOM

Additional possible locations:

• MacDill (Tampa, FL)
• Al Udeid (Qatar)
• Fort Meade (Maryland)
• Northcom (Colorado Springs, CO)
• Camp Humphreys (Korea)
• Arifjan (Kuwait)
• Joint Base Pearl Harbor-Hickam (Hawaii)
• Fort Eisenhower (Georgia)
• Offutt AFB (Omaha, NE)
• Naval Operating Base Norfolk (Virginia)
• Southcom (Doral, FL)
• JB San Antonio (Texas)
• Stuttgart (Germany)
• Vicenza (Italy)
• Tyndall AFB (Florida)

Key Responsibilities:

1. Support the Leidos analytics and assessment team in constructing and modifying research design.
2. Contribute to design of opinion research and interpretation of findings, including surveys, flash polls, focus groups, and in-depth interviews.
3. Conduct behavioral analysis of target audiences to identify psychological, cultural, and social factors influencing behavior.
4. Design and implement influence strategies, including message development, narrative crafting, and media selection.
5. Collaborate with OIE planners, PSYOP, and MISO teams to integrate behavioral insights into operational planning.
6. Conduct post-operation assessments to measure effectiveness and refine approaches.
7. Develop metrics and analytical tools to evaluate influence strategies.
8. Provide subject matter expertise in cognitive and behavioral sciences for OIE planning and execution.
9. Present research findings to senior leadership for strategic decision-making.
10. Define use cases and key questions to support data visualization and analysis.
11. Review studies from similar organizations for reliability and validity.
12. Advance methodologies for analyzing large-scale qualitative and quantitative data sets.

Basic Qualifications:

• Master’s degree in Behavioral Science, Psychology, Sociology, Anthropology, or a related field.
• 3+ years of experience in behavioral analysis, influence operations, or a related field, preferably within defense or intelligence environments (bachelor's degree plus additional experience acceptable).
• Experience supporting U.S. military or intelligence operations.
• Experience in social media analysis, digital marketing, or online influence campaigns.
• Experience designing, implementing, and assessing influence strategies.
• Familiarity with cognitive modeling, cultural analysis, and psychological profiling.
• Strong analytical skills with qualitative and quantitative research methods.
• Excellent communication skills.
• Active TS / SCI security clearance (no sponsorship for upgrades).

Preferred Qualifications:

• PhD in Behavioral Science, Psychology, or related field.
• Familiarity with OIE principles, MISO, PSYOP, influence activities.
• Knowledge of influence and persuasion theories.

Original Posting: August 6, 2025

For U.S. Positions: The job is expected to remain open for at least 3 days from the posting date.

Pay Range: $85,150.00 - $153,925.00

The salary is a guideline; actual compensation depends on various factors including responsibilities, education, experience, and internal considerations.

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About Commercial Bank of Qatar: Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar’s economic development by offering a range of personal, business, government, international and investment services. We believe in empowering our employees, providing them with opportunities for growth and professional development. By Joining us, you’ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential. Join us in shaping the future of banking! Job Summary: At Commercial Bank, data is a key driver in strategic decision making; the incumbent is required to have a thorough understanding of data analytics, data management principles and have ability to help the bank derive maximum value from the data available. Previous experience with data science and advanced analytical techniques, as well as AI and Machine Learning in a banking context would be a major success factor. The skills needed for the Data Scientist include technical knowledge and problem-solving and focus on delivery. The prospective candidate is expected to help take the bank’s data science capabilities to the next level; building on a good foundation but accelerating both the capability development and the exploitation of benefits. Key Accountabilities Lead the discovery processes with stakeholders to identify business requirements and expected outcomes by modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. Apply data mining techniques, perform statistical analysis, and build high quality prediction systems relevant to the business and its operations, Expected to discover information hidden in the vast amount and variety of big data sources and perform statistical analysis to produce business insights e.g. market trends, customer profile and segments, association analysis, predicted behaviour) that will enable the company to make better business decisions. Lead the utilization of various machine learning-based tools and processes such as regression, clustering principle component analysis and others within the Commercial Department. Model and frame business scenarios that are meaningful and which impact critical business decisions and processes. Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters and geo location information or social media. Make strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices. Develop innovative and effective approaches to solve analytical problems and communicates the results and methodologies Validate findings/test hypotheses using an experimental and iterative approach e.g. scenario modelling Identify/create the appropriate algorithm to discover patterns Qualifications & Experience Minimum Qualifications: Bachelor's Degree or an equivalent professional qualification Minimum Experience: Python or R capability Min. 2 years of experience of modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques, integrating and preparing large, varied massive datasets, architecting specialized database and computing environments and communicating the results to the business Expertise in reports and analysis of complex customer and/or commercial data. Specialist skills in research methodologies, consumer behavior, and market research activities. Specialist skills with Microsoft Excel. Specialist skills in different analytical and visualization systems and tools such as SSRS, SQL, Power BI, Cognos, etc. Skills in data extraction, transformation and visual analytics. Skills in customer service / customer success / customer experience or engagement Excellent written and spoken English. Knowledge, & Other skills: •Knowledge of banking products •Excellent written and spoken English Why Commercial Bank? Best Performing Bank in Qatar

in The Banker’s prestigious Top 1000

World Banks Rankings 2025. Best Digital Bank in the Middle East 2024

by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance. An

Innovation-Driven, Digital-First

Environment where employees work with the latest tools and technologies to redefine banking Opportunities for

Global Partnerships & International Exposure , connecting employees with global networks and perspectives. A focus on Employee

Well-being & Work-Life Balance , ensuring a healthy and supportive environment for all team members Competitive Compensation & Benefits

that ensure our employees are rewarded for their dedication and performance A strong Commitment to

Diversity, Equity & Inclusion , fostering a culture that values every individual’s unique perspective At Commercial Bank, we don’t just offer careers, We shape futures by pioneering

digital transformation

in Qatar’s banking sector,

blending digital-first

approach to redefine banking through

innovative solutions. Disclaimer: We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.

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The Data Scientist focuses on developing algorithms, data analysis, and insights to drive business innovation and efficiency. This role involves working with large datasets, developing predictive models, and collaborating with cross-functional teams to deliver data-driven solutions. Responsibilities and Duties

Develop and implement data science projects, including the design and development of algorithms and models. Collaborate with stakeholders to understand business requirements and translate them into data science solutions. Analyze large datasets to extract insights, identify trends, and support decision-making. Develop and validate predictive models, machine learning algorithms, and statistical analyses. Ensure the accuracy, quality, and relevance of data science outputs. Stay updated with the latest advancements in data science and machine learning, applying them to enhance solutions. Provide support and guidance to other team members as needed. Ensure compliance with data governance, security, and regulatory standards in all data science activities. Prepare and present data science reports and documentation to senior management and stakeholders. Participate in project planning and contribute to the development of project timelines and deliverables. Perform other duties relevant to the job as assigned by the Sr. Data Scientist or senior management. Requirements

Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. Relevant certifications (e.g., Certified Data Scientist, Google Cloud Professional Data Engineer) are preferred. Minimum of 3 years of experience in data science or related fields. Experience in developing and implementing data science solutions for AI or technology-focused products. Strong programming skills in languages such as Python, R, or SQL. Proficiency in data science tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Attention to detail and commitment to quality. In-depth understanding of data science principles, machine learning algorithms, and statistical analysis. Familiarity with data visualization tools (e.g., Tableau, Power BI). Knowledge of data governance, security, and regulatory standards. Ability to manage multiple tasks and prioritize effectively. Strong attention to detail and commitment to delivering high-quality work. Ability to work independently and as part of a team.

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Join to apply for the

Talent Scientist

role at

Canonical 3 days ago Be among the first 25 applicants Join to apply for the

Talent Scientist

role at

Canonical As a pioneer remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our business based Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our processes are effective and that the business is able to make the best decisions to select exceptional talent. This is an exceptional opportunity to join a team that is changing the way an organisation hires.

Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent, regardless of location, culture or background.

As a Talent Scientist, you will work closely with these Hiring Leads to drive initiatives, automation and best practice whilst offering an expert viewpoint on talent assessments. This is not a recruiter position; it's about the science of talent and performance, raising awareness and insights across the business so that they are able to select the best talent available from our global talent pool.

We have a number of mid-senior level openings in our team seeking the following:

Passion and drive to embed scientific approaches that deliver impact on how an organisation selects talent. Strong behavioural interviewing techniques (competency based and psychometric assessments). Excellent analytical problem solving ability to identify trends and patterns using SQL, statistical analysis or Python, BI tooling, etc. An exceptional academic background including a Bachelors or Masters degree in a Psychology based subject. A high level of personal organisation to work remotely and be effective.

Location: This is a remote position based in the EMEA region

What your day will look like

As a Talent Scientist you will:

Drive talent analytics to provide our business with real-time insight, partnering with the business to help them move through their hiring processes efficiently. Conduct in-depth behavioural talent interviews providing considerable insights into motivations and behaviours. Build key relationships with global stakeholders to ensure we deliver against our hiring agenda, closely monitoring hiring activities, driving results and ensuring that there is consistency in our operational processes. Drive data driven insights, making sure our decision making process is robust and supportive to inform our decisions. Consider our employer brand and how our interactions with a candidate impacts their experience. Review and streamline hiring processes and tools to drive continuous improvement. Work with external third parties and platforms to ensure we maximise our return on investment. Bring a passion for diversity and inclusion, ensuring we remove unconscious bias from our hiring process and ensuring our sourcing strategy underpins this.

What we are looking for in you

An exceptional academic background from high school and university, with a Bachelors or Masters degree in a Psychology based subject. Experience of hiring talent in the technology or consulting industry. A highly data drive mindset with the ability to create measurable outcomes. Passionate about how an organisation selects talent using scientific approaches with viewpoint on how to predict and measure hiring outcomes. Strong analytical problem solving ability to identify trends and patterns using SQL, with Python and/or advanced statistical analysis preferable. Exposure/appreciation of psychometric assessments, including interpretation. Experience of conducting behavioural, competency based interviews with the ability to train stakeholders and advise on how to get the best out of an interview. A high level of personal organisation and self drive to work remotely and be effective. Willingness to travel to company events 2-4 times a year, for up to two weeks each.

Other Skills You May Bring

Experience in sourcing and headhunting with the ability to teach our senior leadership team how to hunt for industry leaders. Experience in statistical significance testing and experience in Bayesian inference and/or predictive analytics and ML. Exposure to the following tools: LinkedIn Talent Insights, Greenhouse, DISC profiling, Superset. Psychometric validity and reliability metrics.

What we offer you

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Research, Analyst, and Information Technology Industries Software Development Referrals increase your chances of interviewing at Canonical by 2x Sign in to set job alerts for “Scientist” roles.

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SWATX is looking for a talented and driven Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights from complex datasets and drive data-driven decision making within the organization. You will work closely with business stakeholders to identify opportunities for leveraging data to improve products, services, and overall business performance.

Responsibilities:

Analyze large datasets to identify trends, patterns, and insights that can inform business strategies. Develop and implement predictive models and machine learning algorithms to solve complex business problems. Collaborate with cross-functional teams to understand data requirements and provide analytical solutions that meet business needs. Design and conduct experiments to test hypotheses and validate results. Communicate findings and recommendations to stakeholders through presentations and reports. Continuously monitor and improve model performance through regular updates and refinements. Stay updated with the latest advancements in data science, machine learning, and AI technologies to apply best practices in your work. Build and maintain data pipelines to ensure the availability of data for analysis and reporting. Work with data engineering teams to ensure data is collected and stored effectively for analysis. Requirements:

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Proven experience as a Data Scientist or in a similar analytical role. Strong programming skills in Python, R, or similar languages. Proficiency in SQL and experience with relational and non-relational databases. Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras). Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) for communicating results. Understanding of statistical concepts and methodologies, and experience applying them to real-world scenarios. Excellent analytical and problem-solving skills. Strong communication skills, both verbal and written, in English and Arabic. Preferable Certificates:

Certified Data Scientist (CDS). Microsoft Certified: Azure Data Scientist Associate. Google Cloud Professional Data Engineer. SAS Certified Data Scientist.

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